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» Modeling Image Textures by Gibbs Random Fields
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DCC
2003
IEEE
15 years 9 months ago
Estimation-Quantization Geometry Coding Using Normal Meshes
We propose a new algorithm for compressing three-dimensional triangular mesh data used for representing surfaces. We apply the EstimationQuantization (EQ) algorithm originally des...
Sridhar Lavu, Hyeokho Choi, Richard G. Baraniuk
MICCAI
2010
Springer
14 years 8 months ago
Improving Deformable Surface Meshes through Omni-Directional Displacements and MRFs
Abstract. Deformable surface models are often represented as triangular meshes in image segmentation applications. For a fast and easily regularized deformation onto the target obj...
Dagmar Kainmueller, Hans Lamecker, Heiko Seim, Ste...
CVPR
2007
IEEE
16 years 6 days ago
Efficient Belief Propagation for Vision Using Linear Constraint Nodes
Belief propagation over pairwise connected Markov Random Fields has become a widely used approach, and has been successfully applied to several important computer vision problems....
Brian Potetz
CVPR
2012
IEEE
13 years 18 days ago
A learning based deformable template matching method for automatic rib centerline extraction and labeling in CT images
The automatic extraction and labeling of the rib centerlines is a useful yet challenging task in many clinical applications. In this paper, we propose a new approach integrating r...
Dijia Wu, David Liu, Zoltan Puskas, Chao Lu, Andre...
115
Voted
CVPR
2007
IEEE
15 years 8 months ago
Partially Occluded Object-Specific Segmentation in View-Based Recognition
We present a novel object-specific segmentation method which can be used in view-based object recognition systems. Previous object segmentation approaches generate inexact results ...
Minsu Cho (Seoul National University), Kyoung Mu L...